swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.8388
- Accuracy: 0.2857
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.6667 | 1 | 1.8176 | 0.0952 |
| No log | 2.0 | 3 | 1.8961 | 0.1429 |
| No log | 2.6667 | 4 | 1.9159 | 0.1429 |
| No log | 4.0 | 6 | 1.8906 | 0.1905 |
| No log | 4.6667 | 7 | 1.8720 | 0.1905 |
| No log | 6.0 | 9 | 1.8452 | 0.1905 |
| 1.8626 | 6.6667 | 10 | 1.8388 | 0.2857 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3